Fintel Analytics

All your data in one warehouse, so the numbers agree.

We pull data from your storefront, payment providers, CRM, product database and spreadsheets into a single warehouse, cleaned and documented, so every report starts from the same source.

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Sound familiar?

What we hear before a project like this.

“Finance says one number, operations says another, and nobody knows which is right.”
“Every report starts with someone copying data between three tools.”
“Each provider sends its data in a different format.”
What we deliver

One source for every report.

Connectors for every source

Scheduled pipelines that pull from APIs, files and databases, so nobody copies data by hand.

One warehouse

A single home for your data, modelled so each figure has one definition.

Checks on the way in

Tests that catch missing, duplicated or malformed data before it reaches a report.

Documentation

What each table holds and where it comes from, written down so the knowledge stays in the company.

How an engagement runs

Four steps, one fixed price.

  1. Free consultation

    We look at the workflow, the data it touches and what a good result would look like for you.

  2. Fixed-price proposal

    Scope, deliverables and one project price. You know the cost before any work starts.

  3. Build on your data

    A working version early, tested on your real data and reviewed with the people who will use it.

  4. Handover

    Documentation and a walkthrough, so your team can run it. Fractional support afterwards if you want it.

Outcomes

What this looked like for an e-commerce brand.

Case study · E-commerce brand

An operations hub that shows what each order actually made

Nobody could say what one order made after costs or how much of the supplier prepayment was left, and expenses were logged by hand.

Read the case study →

Routine questions go to a cheap model and only marketing analysis to a stronger one, so running costs stay small.

Systems to check for the state of the business
41
Saved a month on manual expense logging
10+ h
Net profit and margin visible, after cost of goods
Per order
FAQs

Before you ask.

Which warehouse do you use?

Whichever fits your stack and budget. We have worked with BigQuery, Snowflake, Redshift and PostgreSQL.

Do we need a warehouse at all?

Not always. In the free consultation we look at whether a simpler setup does the job before recommending one.

How many places does your data live today?

Tell us about it. The first consultation is free, and projects start from $1,500.

Book a free consultation →
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Data ArchitectureData VisualizationData Governance